Bounding-object segmentation

Marcus Vetter; Jochen Neuhaus; Ingmar Wegner; Max Schoebinger; Hans-Peter Meinzer; Ivo Wolf

doi:10.1117/12.596797

29 April 2005 Bounding-object segmentation

Marcus Vetter, Jochen Neuhaus, Ingmar Wegner, Max Schoebinger, Hans-Peter Meinzer, Ivo Wolf

Proceedings Volume 5747, Medical Imaging 2005: Image Processing; (2005) https://doi.org/10.1117/12.596797
Event: Medical Imaging, 2005, San Diego, California, United States

Abstract

The paper presents a new method for the semiautomatic segmentation of anatomical or pathological structures in MRI, CT or ultrasound images. The concept of bounding-object segmentation is based on an efficient combination of a new interactive approach with well known automatic segmentation algorithms. The efficiency of this new method is based on the transparent interaction between a 3D scene as well arbitrary 2D views of the scene. Bounding-object segmentation can also be described as a combination of interactive 3D segmentation with region-based, level-set-based, and/or texture based 3D-segmentation algorithms.

Citation Download Citation

Marcus Vetter, Jochen Neuhaus, Ingmar Wegner, Max Schoebinger, Hans-Peter Meinzer, and Ivo Wolf "Bounding-object segmentation", Proc. SPIE 5747, Medical Imaging 2005: Image Processing, (29 April 2005); https://doi.org/10.1117/12.596797

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